MMLNeuroRad - Mathematical and Machine Learning Methods in Neuroradiology

Lead: Dr. rer. nat. Sergiy Pereverzyev Jr.
Team: Hannes Lerchner, BSc (Master student)

This research group is working on the development, adjustment and application of machine learning methodologies—such as kernel methods, neural networks, and random forests—for the prediction of clinically significant data, including health conditions and their future progression, utilizing radiological information, such as radiographic images and various features derived from them, along with potentially other accessible data. Another focal domain involves the exploration of radiological image analysis techniques and segmentation.